Morphing Federated Model for Real-Time Prevention of Resource Abuse

1. A system for creating a federated user model for predicting misappropriated interactions, the system comprising: one or more quantum optimizers comprising: one or more quantum processors; and one or more quantum memory devices; wherein the one or more quantum processors are configured to: receive interaction data for a plurality of past interactions, user data, and entity data from a plurality of entities that have a relationship with a user, wherein the interaction data, the user data, and the entity data are inputs for the one or more quantum optimizers; assign qubits to the inputs; analyze the inputs to determine the federated user model for predicting future misappropriated interactions of the user; and wherein the federated user model is a simple model that approximates an intricate model developed by the one or more quantum optimizers; and wherein the federated user model is utilized by one or more classical computers to determine when a new interaction the user is entering is potentially misappropriated more efficiently when compared to the intricate model.

2. The system of claim 1 , wherein the one or more quantum processors are configured to: utilize the federated user model to determine when the new interaction of the user is potentially misappropriated; provide an indication that the new interaction should be allowed when the federated user model indicates that the new interaction is acceptable; and provide an indication that the new interaction should be prevented when the federated user model indicates that the new interaction is misappropriated.

3. The system of claim 1 , wherein the past interactions comprise recent interactions and historical interactions.

4. The system of claim 1 , wherein the new interaction is included in the inputs as a new input, and wherein the one or more quantum optimizers are configured to modify the federated user model based on the new input.

5. The system of claim 1 , wherein the inputs change and wherein the one or more quantum optimizers are configured to modify the federated user model based on a changed input.

6. The system of claim 1 , wherein the federated user model is based on a model from a set of known models that provides a greatest confidence when predicting past misappropriated interactions.

7. The system of claim 1 , further comprising: one or more classical computers comprising: one or more memory devices having computer readable code store thereon; and one or more processing devices operatively coupled to the one or more memory devices; wherein the one or more processing devices are configured to execute the computer readable code to: receive the new interaction of the user; utilize the federated user model for determining when the new interaction is allowable or when the new interaction should be prevented; allow the new interaction when the federated user model indicates that the new interaction should be allowed; and prevent the new interaction when the federated user model indicates that the new interaction should be prevented.

8. The system of claim 1 , further comprising: one or more classical computers comprising: one or more memory devices having computer readable code store thereon; and one or more processing devices operatively coupled to the one or more memory devices; wherein the one or more processing devices are configured to execute the computer readable code to: identify the plurality of past interactions of the user with the plurality of entities; identify the interaction data for the plurality of past interactions between the user and the plurality of entities; identify the user data; identify the entity data; and provide the interaction data for the plurality of past interactions, the user data, and the entity data to the one or more quantum optimizers.

9. A method for creating a federated user model for predicting misappropriated interactions, the method comprising: receiving, by one or more quantum processors, interaction data for a plurality of past interactions, user data, and entity data from a plurality of entities that have a relationship with a user, wherein the interaction data, the user data, and the entity data are inputs for one or more quantum optimizers; assigning, by the one or more quantum processors, qubits to the inputs; analyzing, by the one or more quantum processors, the inputs to determine the federated user model for predicting future misappropriated interactions of the user; and wherein the federated user model is a simple model that approximates an intricate model developed by the one or more quantum optimizers; and wherein the federated user model is utilized by one or more classical computers to determine when a new interaction the user is entering is potentially misappropriated more efficiently when compared to the intricate model.

10. The method of claim 9 , further comprising: utilizing, by the one or more quantum processors, the federated user model to determine when the new interaction of the user is potentially misappropriated; providing, by the one or more quantum processors, an indication that the new interaction should be allowed when the federated user model indicates that the new interaction is acceptable; and providing, by the one or more quantum processors, an indication that the new interaction should be prevented when the federated user model indicates that the new interaction is misappropriated.

11. The method of claim 9 , wherein the past interactions comprise recent interactions and historical interactions.

12. The method of claim 9 , wherein the new interaction is included in the inputs as a new input, and wherein the one or more quantum optimizers are configured to modify the federated user model based on the new input.

13. The method of claim 9 , wherein the inputs change and wherein the one or more quantum optimizers are configured to modify the federated user model based on a changed input.

14. The method of claim 9 , wherein the federated user model is based on a model from a set of known models that provides a greatest confidence when predicting past misappropriated interactions.

15. The method of claim 9 , further comprising: receiving, by the one or more classical computers, the new interaction of the user; utilizing the federated user model for determining when the new interaction is allowable or when the new interaction should be prevented; allowing the new interaction when the federated user model indicates that the new interaction should be allowed; and preventing the new interaction when the federated user model indicates that the new interaction should be prevented.

16. The method of claim 9 , further comprising: identifying the plurality of past interactions of the user with the plurality of entities; identifying; the interaction data for the plurality of past interactions between the user and the plurality of entities; identifying the user data; identifying the entity data; and providing the interaction data for the plurality of past interactions, the user data, and the entity data to the one or more quantum optimizers.

17. A computer program product for creating a federated user model for predicting future misappropriated interactions, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured to provide interaction data for a plurality of past interactions, user data, and entity data from a plurality of entities that have a relationship with a user, wherein the interaction data, the user data, and the entity data are inputs for one or more quantum optimizers; an executable portion configured to receive an indication that a new interaction the user is entering is potentially misappropriated based on the federated user model; and wherein the federated user model is determined by the one or more quantum optimizers assigning qubits to the inputs and analyzing the inputs to determine the federated user model; wherein the federated user model is a simple model that approximates an intricate model developed by the one or more quantum optimizers; and wherein the federated user model is used for predicting when future interactions of the user are potentially misappropriated more efficiently when compared to the intricate model.

18. The computer program product of claim 17 , the computer-readable program code portions further comprise: an executable portion configured to receive an indication from the one or more quantum optimizers that the new interaction should be allowed when the federated user model indicates that the new interaction is acceptable; an executable portion configured to receive an indication from the one or more quantum optimizers that the new interaction should be prevented when the federated user model indicates that the new interaction is misappropriated; and wherein the federated user model is utilized to determine when the new interaction of the user is potentially misappropriated.